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院校 題目 類型 日期 作者 摘要 網頁
HKUST BIM Model Reconstruction and Checking Using 3D Laser Scanning and Machine Learning Techniques Report 06/2020 LEI Ian Wang
IEONG Kuan Pui
In this project, the semantic segmentation performance of the deep learning model PointNet on Mechanical, electrical and Plumbing (MEP) is studied. Then, data of different similarity is used to test the model and the experiment of the mechanism of PointNet is conduct. Moreover, this project aims to evaluate the feasibility of generating a generalized model for semantic segmentation of MEP based on our own MEP point cloud data. On the other hand, the data preprocessing procedure is introduced. Finally, discussion about the result and conclusion are made. N.A.
HKUST Construction Lift Planning for Prefabricated Units Based on Building Information Modelng and Optimization Techniques FYP 06/2017 LEE, Hoi Yin
LO, Kwong Ching
In recent years, prefabricated construction has been increasingly employed in building projects, especially in vertical extension of existing building. However, current lift planning mainly relies on experience and instinct of site manager, leading to potentially poor lifting schedule that may incur extra time and costs on lifting operations. This project presents a BIM-based lift planning framework for prefabricated modules in vertical extension project that aims to optimize the lifting schedule of prefabricated modules and provide visualization for actual lifting path of the modules. The framework considers three main models: (1) information extraction and geometry simplification model to obtain the module information and simplify the shape of modules, (2) analysis model to calculate the actual lifting path distance of each prefabricated module, and (3) optimization model for the selection of ideal lifting schedule using genetic algorithm (GA). An illustrative example is presented to illustrate and evaluate the proposed framework. The results show that the proposed framework can generate the shortest lifting path for each prefabricated module automatically. The lift planning for prefabricated modules in vertical extension project can be significantly improved by the developed framework. N.A.
HKU Defining QS-BIM in Hong Kong Thesis 04/2019 LEE Curtise -- N.A.
HKU Communication in Construction: A Cost Management Perspective through Bim Case Studies Thesis 04/2017 LAW Cheuk Fung -- N.A.
HKUST Analysis of Urban Walkability Using BIM and 3D GIS Models FYP 06/2020 LAI, Chi Ching
POON, Kwok Ho
Walkability, which is defined as the friendliness of a city or district towards walking, has been evaluated in the current Urban Design Report released by the Planning Department. The ultimate target of urban planning is not only being walkable but also provides comfortable walkways for pedestrians to travel through the city. Surveying and walking audit are the two common methods to measure the walkability of a district. However, the two methods are subjected to personal views and labor-intensive in data collection. This study tries to integrate Building Information Modeling (BIM), medial axis transform (MAT) network, and pedestrian flow simulation to analyze the walkability of Kwun Tong District. This approach digitizes the study region with rich geometric and semantic information for comprehensive analysis, which could present high similarity to the real environment. The BIM model of this study is a 3D model of the Kwun Tong District binding with information of the walking facilities such as the opening hours and slope of the walkway. The 3D pedestrian network, which indicates the walkable paths in the 3D model with walkway information, is built on the BIM model in order to calculate the time cost using a self-defined utility function. Pathfinder is used for pedestrian flow simulation to capture videos of pedestrians walking in the specific route in the BIM model, which gives realistic and clear illustrations in the walking environment. This study covers the area along Ngau Tau Kok Station to Kwun Tong Station, including residential area and commercial area, which is able to simulate various pedestrian walking behaviors in different districts. Three phases of simulations are carried out in the study region in this project, trying to demonstrate the working principle of the study method by analyzing the walkability of a specific region, sorting out the problems, and trying to improve the walkability with alteration in the BIM model. The ultimate target of the study is to provide a platform for walkability analysis so that the effectiveness of the urban planning policies can be simulated before adoption. N.A.
HKUST Multi-zone indoor CFD under limited information: An approach coupling solar analysis and BIM for improved accuracy Journal 10/2020 Kwok, H.H.L., Cheng, J.C.P., Li, A.T.Y., Tong, J.C.K., and Lau, A.K.H. It is important to monitor the indoor air quality and thermal comfort of an office environment for the wellbeing of its occupants, and, to do so, computational fluid dynamics simulation is more cost-effective than measuring an entire floor. Computational fluid dynamics simulation has been used by previous studies for single rooms and partitioned spaces, but not for office floors with multi-zone ventilation systems, and air infiltrations between different zones through closed doors have been neglected. Also, since it is often not possible to take measurements across an entire floor due to concerns of tenant privacy, few studies have used the limited obtainable field measurements to validate multi-zone computational fluid dynamics simulations. This study describes a methodology to conduct indoor multi-zone steady-state computational fluid dynamics simulation, with improved accuracy, on a typical office floor where there is limited information on carbon dioxide concentrations and temperatures. Heat and mass conservation equations were used to compensate for the lack of information. The mechanical ventilation and air conditioning layout was considered along with the sources of heat and carbon dioxide emissions. To improve the accuracy of the simulation on temperature, a solar analysis, based on building geometry, orientation, materials, location, and weather, was conducted to estimate any solar heat gain and distribution through curtain walls. Building information modeling supported the solar analysis and provided geometric information for the computational fluid dynamics simulation. The methodology was validated by a real case of a commercial building, where the accuracy of the temperature simulation improved by 9.9%. 連結